Riccardo Valperga

14 papers A* 4Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Grounding Continuous Representations in Geometry: Equivariant Neural Fields. ICLR David R. Wessels, David M. Knigge, Riccardo Valperga, Samuele Papa, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers
2024	J	`jnl`	Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps. CoRR Evgenii Egorov, Riccardo Valperga, Efstratios Gavves
2024	A*	`conf`	Ai-sampler: Adversarial Learning of Markov kernels with involutive maps. ICML Evgenii Egorov, Riccardo Valperga, Stratis Gavves
2024	J	`jnl`	Grounding Continuous Representations in Geometry: Equivariant Neural Fields. CoRR David R. Wessels, David M. Knigge, Samuele Papa, Riccardo Valperga, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers
2024	A*	`conf`	How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CVPR Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
2024	A*	`conf`	Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. NeurIPS David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Erik J. Bekkers, Efstratios Gavves
2024	J	`jnl`	Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. CoRR David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers
2023	J	`jnl`	Data Augmentations in Deep Weight Spaces. CoRR Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron
2023	—	`conf`	Geometric Contrastive Learning. ICCV (Workshops) Yeskendir Koishekenov, Sharvaree P. Vadgama, Riccardo Valperga, Erik J. Bekkers
2023	J	`jnl`	How to Train Neural Field Representations: A Comprehensive Study and Benchmark. CoRR Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves
2023	—	`conf`	Learning Lie Group Symmetry Transformations with Neural Networks. TAG-ML Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves
2023	J	`jnl`	Learning Lie Group Symmetry Transformations with Neural Networks. CoRR Alex Gabel, Victoria Klein, Riccardo Valperga, Jeroen S. W. Lamb, Kevin Webster, Rick Quax, Efstratios Gavves
2023	J	`jnl`	Neural Modulation Fields for Conditional Cone Beam Neural Tomography. CoRR Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves
2022	—	`conf`	Learning Reversible Symplectic Dynamics. L4DC Riccardo Valperga, Kevin Webster, Dmitry Turaev, Victoria Klein, Jeroen S. W. Lamb